Selection of important input variables for RBF network using partial derivatives.
Jarkko TikkaJaakko HollménPublished in: ESANN (2008)
Keyphrases
- input variables
- rbf network
- radial basis function
- artificial neural networks
- partial derivatives
- variable selection
- neural network model
- rbf neural network
- membership functions
- fuzzy rules
- back propagation
- learning algorithm
- multilayer perceptron
- cross validation
- active learning
- pairwise
- support vector
- basis functions
- model selection
- fuzzy sets
- learning tasks
- markov random field
- multiscale
- knowledge base
- neural network